Overview and semantic issues of text mining

Author:

Stavrianou Anna1,Andritsos Periklis2,Nicoloyannis Nicolas1

Affiliation:

1. Université Lumière Lyon2, France

2. University of Trento, Italy

Abstract

Text mining refers to the discovery of previously unknown knowledge that can be found in text collections. In recent years, the text mining field has received great attention due to the abundance of textual data. A researcher in this area is requested to cope with issues originating from the natural language particularities. This survey discusses such semantic issues along with the approaches and methodologies proposed in the existing literature. It covers syntactic matters, tokenization concerns and it focuses on the different text representation techniques, categorisation tasks and similarity measures suggested.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

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